Triple
T37675997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paper II (UGC NET) |
E938094
|
entity |
| Predicate | preRequisite |
P73179
|
FINISHED |
| Object | Paper I (UGC NET) |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Paper I (UGC NET) | Statement: [Paper II (UGC NET), preRequisite, Paper I (UGC NET)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preRequisite Context triple: [Paper II (UGC NET), preRequisite, Paper I (UGC NET)]
-
A.
prerequisiteKnowledge
Indicates that one piece of knowledge must be acquired or understood before another can be effectively learned or applied.
-
B.
precondition
Indicates that one event, state, or condition must be true or occur before another event, state, or condition can validly or successfully take place.
-
C.
previouslyRequired
chosen
Indicates that one entity was required or necessary before another entity, typically as a prerequisite condition or step.
-
D.
precursorActivity
Indicates that one activity occurs earlier and contributes causally or preparatorily to the initiation of another activity.
-
E.
commonPrerequisiteField
Indicates that two or more items share the same required prerequisite field that must be satisfied before they can proceed or be accessed.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76ed7b1408190ba8c93c53cb8becf |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.